Software Engineer - AI​/ML

Company Overview

For more than 50 years, NISC has worked to develop technology solutions for our customers, who we call our "Members". Those Members are comprised primarily of 960+ energy (utility) and communication (broadband) organizations across North America. Our mission is to deliver technology solutions and services that are Member‑focused, quality driven and value‑priced. Our Members have over 18 million end customers (residential and businesses who receive power, internet, television and/or telephone services) that our enterprise software solution enables our Member's employees to compete effectively in the industry, while excelling in providing customer service to their end customers.

NISC exists to serve our Members and help them serve their communities through our innovative software products, services and outstanding customer support. We are an AI‑forward company committed to being a technology leader in our industry. NISC has been ranked in Computer World's Best Places to Work for 23 years, and we are looking for qualified individuals to join our team.

We are looking for a high‑agency, AI‑native Software Engineer who loves building real‑world AI systems that make a measurable difference.

This is not a research role. This is not a "play with models in a lab" role. This is a builder role.

You will design, build, ship, and continuously improve production‑grade AI applications that are embedded directly into mission‑critical software used by utilities and broadband providers across North America. Your work will power customer service interactions, operational workflows, and intelligent automation at scale.

We are looking for someone who:

• Gets excited about taking AI from idea → prototype → production → scale
• Loves experimenting with new models, frameworks, and agentic patterns
• Has a "there's a way" mindset when solving hard technical problems
• Believes AI should drive tangible business impact, not just technical novelty
• Thrives in ambiguity and moves fast while maintaining engineering discipline

At NISC, AI is not a side initiative — it is a core strategic priority. You will help shape how AI transforms the way our Members serve their communities.

If you've built and deployed AI systems that real users depend on — and you want to do it in an organization that values ownership, innovation, and meaningful impact — we encourage you to apply.

• Design & Build Production AI Systems:
  Architect, develop, and deploy AI‑powered features and applications using LLMs, RAG pipelines, agentic workflows, and modern ML techniques.
• Own Outcomes, Not Just Code:
  Take ideas from concept to production. Prototype quickly, validate with users, iterate based on feedback, and optimize for reliability and performance.
• LLM & Agent Integration:
  Integrate foundation models, fine‑tuned models, and multi‑agent systems into enterprise‑grade applications in secure, scalable environments.
• Data & Retrieval Engineering:
  Design and optimize data ingestion pipelines, embeddings workflows, and vector database implementations that support high‑quality AI responses.
• Performance & Scalability:
  Deploy AI systems that are resilient, observable, and cost‑efficient in production environments.
• Mission Alignment:
  Ensure solutions are practical, intuitive, and aligned with the operational realities of cooperatives, utilities, and broadband providers.
• Continuous Innovation:
  Actively explore new AI capabilities and rapidly evaluate how they can improve our products and development practices.
• Collaborative Execution:
  Partner with product, architecture, and engineering teams to embed AI capabilities across our enterprise platform.
• Follow all established software development methodologies and procedures.
• Other duties as assigned

• 8‑10+ years experience in software development, preferably with at least 3+ years in AI/ML software development.
• Demonstrated experience shipping AI solutions used by real customers — not just prototypes or academic projects
• Experience integrating LLMs into applications (prompt engineering, evaluation, fine‑tuning, API orchestration)
• Experience designing RAG pipelines,…